Autosoft Journal

Online Manuscript Access


Dimensionality Reduction for Hybrid Medical Information Opinion Mining


Authors



Abstract

The web has changed how people collaborate, communicate and express opinions and sentiments. Opinion Mining (OM) is popular due to the quick growth of web users, increasing online discussion forums and social media sites. OM determines feelings/opinions of others about services, products, politics and policies. There are huge unstructured, free-text information about health care quality available on the net from social networks, blogs and health-care rating websites. When sentiment analysis is applied to health care, it reveals a new approach to analyse huge volumes of textual information about patient2019s experiences to locate patterns and understand data. This paper proposes an OM system dimensionality reduction technique to mine user generated health reviews. The new method classifies patient reviews from online forums as positive/negative automatically. Results show the new dimensionality reduction techniques efficiency in classifying.


Keywords


Pages

Total Pages: 6
Pages: 331-336

DOI
10.1080/10798587.2016.1231473


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways


Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Published

Volume: 23
Issue: 2
Year: 2016

Cite this document


References

Bar, Ariel et al. "Improving Simple Collaborative Filtering Models Using Ensemble Methods." Lecture Notes in Computer Science (2013): 1-12. Crossref. Web. https://doi.org/10.1007/978-3-642-38067-9_1

Cambria, Erik et al. "Sentic PROMs: Application of Sentic Computing to the Development of a Novel Unified Framework for Measuring Health-Care Quality." Expert Systems with Applications 39.12 (2012): 10533-10543. Crossref. Web. https://doi.org/10.1016/j.eswa.2012.02.120

Cambria, Erik et al. "Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis." IEEE Intelligent Systems 29.2 (2014): 44-51. Crossref. Web. https://doi.org/10.1109/MIS.2012.118

Deng Y. Medical information retrieval workshop at Sigir 2014

Devi B.L. International Journal of Computer, Control, Quantum and Information Engineering

Fernandez-Luque, Luis, Randi Karlsen, and Jason Bonander. "Review of Extracting Information From the Social Web for Health Personalization." Journal of Medical Internet Research 13.1 (2011): e15. Crossref. Web. https://doi.org/10.2196/jmir.1432

Greaves F. The Lancet 380.10 (2012)

Kansara N. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) 2.2 (2013)

Karaboga D. Scientific research and essays

Mustafa A.S. Indian Journal of Science and Technology

Niu Y. AMIA annual symposium proceedings

Patel K.J. International Journal of Advanced Research in Computer and Communication Engineering

Prasath R. Medical information retrieval workshop at SIGIR 2014

Sathishkumar, K., E. Balamurugan, and P. Narendran. "An Efficient Artificial Bee Colony and Fuzzy C Means Based Co-Regulated Biclustering from Gene Expression Data." Lecture Notes in Computer Science (2013): 120-129. Crossref. Web. https://doi.org/10.1007/978-3-319-03844-5_13

Xia, Lei et al. "Improving Patient Opinion Mining through Multi-Step Classification." Lecture Notes in Computer Science (2009): 70-76. Crossref. Web. https://doi.org/10.1007/978-3-642-04208-9_13

Zhang, Yun-tao, Ling Gong, and Yong-cheng Wang. "An Improved TF-IDF Approach for Text Classification." Journal of Zhejiang University SCIENCE 6.1 (2005): 49-55. Crossref. Web. https://doi.org/10.1631/jzus.2005.A0049

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




CONTACT INFORMATION


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048
EMAIL: tsiepress@gmail.com
WEB: http://www.wacong.org/tsi/